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3-D mesh sequence compression using wavelet-based multi-resolution analysis
Authors:Jae W. Cho  R. Prost
Affiliation:a Media Solution Center, Samsung Electronics, Co. Ltd., 416, Maetan-3-dong, Yeongtong-gu, Suwon, Gyeonggi-do, 443-742, Republic of Korea
b CREATIS, CNRS #5520, Inserm U630, INSA-UCB, Université de Lyon, Villeurbanne, France
c Department of Electrical Engineering, Yeungnam University, 214-1, Dae-dong, Gyeongsan-si, Gyeongsangbuk-do, 712-749, Republic of Korea
d School of Electronic Engineering, Communication Engineering and Computer Science, Yeungnam University, 214-1, Dae-dong,Gyeongsan-si, Gyeongsangbuk-do, 712-749, Republic of Korea
Abstract:
In this paper, we present two compression methods for irregular three-dimensional (3-D) mesh sequences with constant connectivity. The proposed methods mainly use an exact integer spatial wavelet analysis (SWA) technique to efficiently decorrelate the spatial coherence of each mesh frame and also to adaptively transmit mesh frames with various spatial resolutions. To reduce the temporal redundancy, the first proposed method applies multi-order differential coding (MDC) to the temporal sequences obtained from SWA. MDC determines the optimal order of the differential coder by analyzing the variance of prediction errors. Comparing with the first order differential coding (FDC) scheme, the method can improve the compression performance. The second proposed method applies temporal wavelet analysis (TWA) to the temporal sequences. In particular, this method offers spatio-temporal multi-resolution coding. Through simulations, we prove that our methods enable efficient lossy-to-lossless compression for 3-D mesh sequences in a single frame work.
Keywords:Data compression   Image compression   Wavelet transform
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